The Columbia Consumer Videos (CCV) dataset [1]} contains \(9,317\)  YouTube videos of 20 classes. We follow the protocol defined in [1]}, with a training set of \(4,659\)  videos and a test set of \(4,658\)  videos. The TRECVID MEDTest 14 (MED14) [3]} is one of the most challenging datasets for event recognition containing 20 complex events. In the training section, there are 100 positive exemplars per event, and all events share negative exemplars with about \(5,000\)  videos. The test section contains approximately \(23,000\)  videos.
